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README.md
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* <h3 style="display: inline;">Release Date:</h3> June 14, 2024
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* <h3 style="display: inline;">Model Developers:</h3> Neural Magic
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Qwen2-0.5B-Instruct quantized to FP8 weights and activations using per-tensor quantization through the AutoFP8 repository, ready for inference with vLLM >= 0.5.0.
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Calibrated with 512 UltraChat samples to achieve 100% performance recovery on the Open LLM Benchmark evaluations.
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Reduces space on disk by ~30%.
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Part of the [FP8 LLMs for vLLM collection](https://huggingface.co/collections/neuralmagic/fp8-llms-for-vllm-666742ed2b78b7ac8df13127).
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* <h3 style="display: inline;">Release Date:</h3> June 14, 2024
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| 13 |
* <h3 style="display: inline;">Model Developers:</h3> Neural Magic
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+
Qwen2-0.5B-Instruct quantized to FP8 weights and activations using per-tensor quantization through the [AutoFP8 repository](https://github.com/neuralmagic/AutoFP8), ready for inference with vLLM >= 0.5.0.
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| 16 |
Calibrated with 512 UltraChat samples to achieve 100% performance recovery on the Open LLM Benchmark evaluations.
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| 17 |
Reduces space on disk by ~30%.
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| 18 |
Part of the [FP8 LLMs for vLLM collection](https://huggingface.co/collections/neuralmagic/fp8-llms-for-vllm-666742ed2b78b7ac8df13127).
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